Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database

In this paper we present a novel architecture for storing visual data. Effective storing, browsing and searching collections of images is one of the most important challenges of computer science. The design of architecture for storing such data requires a set of tools and frameworks such as SQL database management systems and service-oriented frameworks. The proposed solution is based on a multi-layer architecture, which allows to replace any component without recompilation of other components. The approach contains five components, i.e. Model, Base Engine, Concrete Engine, CBIR service and Presentation. They were based on two well-known design patterns: Dependency Injection and Inverse of Control. For experimental purposes we implemented the SURF local interest point detector as a feature extractor and $K$-means clustering as indexer. The presented architecture is intended for content-based retrieval systems simulation purposes as well as for real-world CBIR tasks.Comment: Accepted for the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC, June 14-18, 2015, Zakopane, Polan

THE GOALS AND GOVERNANCE OF THE SOCIAL INCLUSION AND COMMUNITY ACTIVATION PROGRAMME (SICAP) 2015-2017: A MIXED METHODS STUDY. ESRI RESEARCH SERIES NUMBER 68 JULY 2018

The Social Inclusion and Community Activation Programme (SICAP) (2015-2017) aims at reducing poverty and promoting social inclusion and equality through local, regional and national engagement and collaboration. The three goals of the programme are; strengthening local communities, promoting lifelong learning, and helping people become more job ready. SICAP is funded and overseen by the Department of Rural and Community Development, with Pobal nominated to act as an agent of the Department with respect to national management and oversight of the programme. The Local Community Development Committees (LCDCs) are the contracting authorities that manage and administer SICAP at a local level and direct the funding to 45 Programme Implementers (PIs) covering 51 local areas or lots to implement the programme. This report is part of a broader research programme entitled ‘A Programme of Evaluation of the Social Inclusion and Community Activation Programme’ aimed at informing the Department of Rural and Community Development’s overarching strategic goals and objectives in relation to SICAP and evaluating projects, actions and activities conducted as part of the programme

Identity Trust Framework for iGaming

The online gambling community, or the iGaming industry in the United States has individual solutions and a mix of classic processes to manage universal customer identity but it lacks a standard identity management framework in which to enroll new iGaming users, monitor those users and ensure secure transactions, which leaves it open to identity theft and financial fraud. The iGaming industry offers online poker, sports betting and casino table games. iGaming providers (provider/providers) include companies such as PartyPoker.com, Pokerstars.com, Bovada.com, BetOnline.com among others. An iGaming player (player/players) is anyone who plays to gamble on games through the Internet. This report focuses on the requirements and specification for an Identity Trust Framework to enhance security and privacy in the United States iGaming industry and players.Informatio

Leveraging Epidemiology to Improve Risk Assessment.

The field of environmental public health is at an important crossroad. Our current biomonitoring efforts document widespread exposure to a host of chemicals for which toxicity information is lacking. At the same time, advances in the fields of genomics, proteomics, metabolomics, genetics and epigenetics are yielding volumes of data at a rapid pace. Our ability to detect chemicals in biological and environmental media has far outpaced our ability to interpret their health relevance, and as a result, the environmental risk paradigm, in its current state, is antiquated and ill-equipped to make the best use of these new data. In light of new scientific developments and the pressing need to characterize the public health burdens of chemicals, it is imperative to reinvigorate the use of environmental epidemiology in chemical risk assessment. Two case studies of chemical assessments from the Environmental Protection Agency Integrated Risk Information System database are presented to illustrate opportunities where epidemiologic data could have been used in place of experimental animal data in dose-response assessment, or where different approaches, techniques, or studies could have been employed to better utilize existing epidemiologic evidence. Based on the case studies and what can be learned from recent scientific advances and improved approaches to utilizing human data for dose-response estimation, recommendations are provided for the disciplines of epidemiology and risk assessment for enhancing the role of epidemiologic data in hazard identification and dose-response assessment

Restoring a Public Interest Vision of Law in the Age of the Internet

In November 2003, Mr. Marc Rotenberg, Executive Director of the Electronic Privacy Information Center, lectured at Duke Law School on the importance of protecting individual privacy. In his remarks, Mr. Rotenberg recounted the successful campaign against the government\u27s Clipper Chip proposal. He argued that successful public interest advocacy in the Internet age requires the participation of experts from many fields, public engagement, and a willingness to avoid a simple balancing analysis. He further concluded that privacy may be one of the defining issues of a free society in the twenty-first century

From Value Protection to Value Creation: Rethinking Corporate Governance Standards for Firm Innovation

A company’s pro-innovation needs are often met by the exploitation of its resources, widely defined. The resource-based theory of the firm provides immense empirical insights into how a firm’s corporate governance factors can contribute to promoting innovation. However, these implications may conflict with the prevailing standards of corporate governance imposed on many securities markets for listed companies, which have developed based on theoretical models supporting a shareholder-centered and agency-based theory of the firm. Although prevailing corporate governance standards can to an extent support firm innovation, tensions are created in some circumstances where companies pit their corporate governance compliance against resource-based needs that promote innovation. In the present context of steady internationalization and convergence in corporate governance standards in global securities markets towards a shareholder-centered agency-based model, we argue that there is a need to provide some room for accommodating the resource-based needs for companies in relation to promoting innovation. We explore a number of options and suggest that the most practicable option would be the development of recognized exceptions that deviate from prevailing corporate governance standards. We further suggest as to how an exceptions-based regime can be implemented in the U.K. and U.S., comparing the rules-based regime in the U.S. with the principles-based regime in the U.K

Object identification and characterization with hyperspectral imagery to identify structure and function of Natura 2000 habitats

Habitat monitoring of designated areas under the EU Habitats Directive requires every 6 years information on area, range, structure and function for the protected (Annex I) habitat types. First results from studies on heathland areas in Belgium and the Netherlands show that hyperspectral imagery can be an important source of information to assist the evaluation of the habitat conservation status. Hyperspectral imagery can provide continuous maps of habitat quality indicators (e.g., life forms or structure types, management activities, grass, shrub and tree encroachment) at the pixel level. At the same time, terrain managers, nature conservation agencies and national authorities responsible for the reporting to the EU are not directly interested in pixels, but rather in information at the level of vegetation patches, groups of patches or the protected site as a whole. Such local level information is needed for management purposes, e.g., exact location of patches of habitat types and the sizes and quality of these patches within a protected site. Site complexity determines not only the classification success of remote sensing imagery, but influences also the results of aggregation of information from the pixel to the site level. For all these reasons, it is important to identify and characterize the vegetation patches. This paper focuses on the use of segmentation techniques to identify relevant vegetation patches in combination with spectral mixture analysis of hyperspectral imagery from the Airborne Hyperspectral Scanner (AHS). Comparison with traditional vegetation maps shows that the habitat or vegetation patches can be identified by segmentation of hyperspectral imagery. This paper shows that spectral mixture analysis in combination with segmentation techniques on hyperspectral imagery can provide useful information on processes such as grass encroachment that determine the conservation status of Natura 2000 heathland areas to a large extent. A limitation is that both advanced remote sensing approaches and traditional field based vegetation surveys seem to cause over and underestimations of grass encroachment for specific categories, but the first provides a better basis for monitoring if specific species are not directly considered

Evidence-based care of older people with suspected cognitive impairment in general practice: protocol for the IRIS cluster randomised trial

Background: Dementia is a common and complex condition. Evidence-based guidelines for the management of people with dementia in general practice exist; however, detection, diagnosis and disclosure of dementia have been identified as potential evidence-practice gaps. Interventions to implement guidelines into practice have had varying success. The use of theory in designing implementation interventions has been limited, but is advocated because of its potential to yield more effective interventions and aid understanding of factors modifying the magnitude of intervention effects across trials. This protocol describes methods of a randomised trial that tests a theory-informed implementation intervention that, if effective, may provide benefits for patients with dementia and their carers. Aims: This trial aims to estimate the effectiveness of a theory-informed intervention to increase GPs’ (in Victoria, Australia) adherence to a clinical guideline for the detection, diagnosis, and management of dementia in general practice, compared with providing GPs with a printed copy of the guideline. Primary objectives include testing if the intervention is effective in increasing the percentage of patients with suspected cognitive impairment who receive care consistent with two key guideline recommendations: receipt of a i) formal cognitive assessment, and ii) depression assessment using a validated scale (primary outcomes for the trial). Methods: The design is a parallel cluster randomised trial, with clusters being general practices. We aim to recruit 60 practices per group. Practices will be randomised to the intervention and control groups using restricted randomisation. Patients meeting the inclusion criteria, and GPs’ detection and diagnosis behaviours directed toward these patients, will be identified and measured via an electronic search of the medical records nine months after the start of the intervention. Practitioners in the control group will receive a printed copy of the guideline. In addition to receipt of the printed guideline, practitioners in the intervention group will be invited to participate in an interactive, opinion leader-led, educational face-to-face workshop. The theory-informed intervention aims to address identified barriers to and enablers of implementation of recommendations. Researchers responsible for identifying the cohort of patients with suspected cognitive impairment, and their detection and diagnosis outcomes, will be blind to group allocation. Trial registration: Australian New Zealand Clinical Trials Registry: ACTRN12611001032943 (date registered 28 September, 2011)